Data Engineer
Full Time
full-time
8 Sep 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
Similar to the previous position, it holds moderate value due to its requirement for technical expertise and specific familiarity with advanced data tools.
- Engagement in varied data engineering projects
- Opportunity for technical skill development
- Recognized employer offers stability
- Specific role requirements may limit candidate pool
Pros
- Engagement with diverse data engineering projects.
- Possibility to increase technical competencies, especially in Python and ETL.
- Working with a well-recognized employer (Accenture).
Cons
- Competitive nature of the role with specific technical requirements.
- Candidates may feel pressure due to high responsibility expectations.
- Unspecified salary may hinder applications.
Who it's for
Mid-level to Senior • On-site in Mumbai
Good fit
- Data professionals with strong ETL and pipeline experience
- Candidates with a background in Google BigQuery
- Individuals eager to build their skills in a tech setting
Not recommended for
- Beginners to the field without practical experience
- Individuals not meeting technical qualifications
- Candidates looking for remote positions
Motivation fit
Interest in working on data solutions and problems.Motivation to collaborate with multidisciplinary teams.Desire to expand knowledge in data handling and engineering.
Key skills
Data pipeline developmentETL process implementationGoogle BigQuery expertiseData quality monitoring
Score: 75/100 AI verified analysis
About the job
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Google BigQuery, Python (Programming Language), Data Building Tool
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and optimize data pipelines to ensure efficient data processing and retrieval. - Monitor and maintain data quality standards across all data solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery, Python (Programming Language), Data Building Tool. - Strong experience in designing and implementing ETL processes. - Familiarity with data warehousing concepts and best practices. - Ability to work with large datasets and perform data analysis. - Experience in using data visualization tools to present data insights. Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required.
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Google BigQuery, Python (Programming Language), Data Building Tool
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and optimize data pipelines to ensure efficient data processing and retrieval. - Monitor and maintain data quality standards across all data solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery, Python (Programming Language), Data Building Tool. - Strong experience in designing and implementing ETL processes. - Familiarity with data warehousing concepts and best practices. - Ability to work with large datasets and perform data analysis. - Experience in using data visualization tools to present data insights. Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required.
